Emotion recognition in human-computer interaction

By R. Cowie, Ellen Douglas-Cowie, Nicolas Tsapatsoulis, G. Votsis, Stefanos D. Kollias, W. Fellenz, John G. Taylor. IEEE Signal Processing Magazine, 2001

618 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/7a54a7a44f0697064f084bdb6bac6f93b81c392f

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In Computer Vision and Pattern Recognition

In Experimental and Cognitive Psychology

In Social Psychology

Citations in the corpus

The German Text-to-Speech Synthesis System MARY: A Tool for Research, Development and Teaching (2003, background): “Figure 4 presents a two-dimensional description of emotional states, the so-called activation-evaluation space (Schlosberg, 1941; Russell, 1980; Cowie et al., 2001).”
Social signal processing: Survey of an emerging domain (2009, background): “There is more than words in social interactions [9], whether these take place between humans or between humans and computers [30].”
A review of depression and suicide risk assessment using speech analysis (2015, neutral): “Strong negative affect or p p Cowie et al. (2001)”
Emotion recognition using brain activity (2008, background): “For example, research has been done to make computers recognize emotion from speech [12, 11, 2], facial expressions [47, 11, 19] or a fusion of both methods [6].”
Prosody-based automatic detection of annoyance and frustration in human-computer dialog (2002, background): “There has been considerable past work in the area of characte rizing and detecting emotion in speech [1, 2, 3, 4, 5, 6].”
Emotion recognition system using short-term monitoring of physiological signals (2004, background): “Most of them are focused on facial expression recognition and speech signal analysis (COWIE et al., 2001).”
A 3D facial expression database for facial behavior research (2006, neutral): “Research on automatic techniques for analyzing human facial behavior has been conducted for over three decades [11, 32, 34 ].”
In a Nervous Voice: Acoustic Analysis and Perception of Anxiety in Social Phobics’ Speech (2008, background): “It has further been noted that the prototypical expressions of basic emotions, which have been the focus of a majority of studies of posed expressions, are rarely encountered in spontaneous everyday conversations (e.g., Cowie and Cornelius 2003; Devillers et al. 2005).”
Personalizing persuasive technologies: Explicit and implicit personalization using persuasion profiles (2015, background): “Designers have also used face recognition or fingerprints (Cowie et al., 2001), gait analysis, or RFID badges (Schmidt et al.”
Hidden Markov model-based speech emotion recognition (2003, background): “Besides, the detection of lies, video games and psychiatric aid are often claimed as further scenarios for emotion recognition [1].”
SPEECH EMOTION RECOGNITION USING SUPPORT VECTOR MACHINE (2010, background): “In the recent years, a great deal of research has been done to recognize human emotion using speech information [1], [2].”